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    Graph learning· 2021

    E(n) Equivariant Graph Neural Networks

    Victor Garcia Satorras (first author) · 2021

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    arXiv 2102.09844OpenAlex W3131204112

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    Why it matters

    Delivered practical rotation-, translation-, and reflection-equivariant message passing.

    Condensed from the expert lists' notes.

    The record

    First released
    2021 (from arXiv 2102.09844)
    Citations
    1,705 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.477 · computed rank 261 · consensus 0.69, must-read 0, citations percentile 0.773 (2020s · graphs), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.